<template>
  <div class="contain">
    <div class="first">
      <div class="ft1">
        <el-tabs v-model="activeNames" @tab-click="handleClicks">
          <el-tab-pane label="数据下载" name="tianbao">
            <div style="font-size: 20px; font-weight: bold">当日下载总量</div>
            <div class="tabline">
              <div>
                <div style="font-size: 26px; color: #1e60cf; font-weight: bold">15000次</div>
                <div style="margin-top: 10px">上月同期：1999次</div>
              </div>
              <div>
                <div>同比：14%</div>
                <div style="margin-top: 10px">环比：14%</div>
              </div>
              <div style="text-align: center">
                <img src="@/assets/imgs/icon8.png" alt="" style="height: 20px; width: 20px" />
                <div style="margin-top: 5px">重复率</div>
                <div style="margin-top: 5px">16%</div>
              </div>
            </div>
          </el-tab-pane>
          <el-tab-pane label="数据转发" name="paqu">
            <div style="font-size: 20px; font-weight: bold">当日转发数据总量</div>
            <div class="tabline">
              <div>
                <div style="font-size: 26px; color: #1e60cf; font-weight: bold">15000次</div>
                <div style="margin-top: 10px">上月同期：1999次</div>
              </div>
              <div>
                <div>同比：14%</div>
                <div style="margin-top: 10px">环比：14%</div>
              </div>
              <div style="text-align: center">
                <img src="@/assets/imgs/icon8.png" alt="" style="height: 20px; width: 20px" />
                <div style="margin-top: 5px">当日转发目的地总量</div>
                <div style="margin-top: 5px">16</div>
              </div>
            </div>
          </el-tab-pane>
          <el-tab-pane label="接口推送" name="jicheng">
            <div style="font-size: 20px; font-weight: bold">当日接口推送总量</div>
            <div class="tabline">
              <div>
                <div style="font-size: 26px; color: #1e60cf; font-weight: bold">15000</div>
                <div style="margin-top: 10px">上月同期：1999.00kWh</div>
              </div>
              <div>
                <div>同比：14%</div>
                <div style="margin-top: 10px">环比：14%</div>
              </div>
              <div style="text-align: center">
                <img src="@/assets/imgs/icon8.png" alt="" style="height: 20px; width: 20px" />
                <div style="margin-top: 5px">完成率</div>
                <div style="margin-top: 5px">16%</div>
              </div>
            </div>
          </el-tab-pane>
        </el-tabs>
      </div>
      <div class="ft1">
        <div class="tTitle">用户登录人次</div>
        <div class="lineWarn">
          <div>
            <div class="numberss">10<span style="margin-left: 10px">人</span></div>
          </div>
          <div>
            <div style="display: flex; align-items: center">
              <div class="lineCard"></div>
              <div>用户登录次数</div>
            </div>
            <div class="numbers">0<span style="margin-left: 10px">次</span></div>
          </div>
          <div>
            <div style="display: flex; align-items: center">
              <div class="lineCard2"></div>
              <div>访问功能次数</div>
            </div>
            <div class="numbers">0<span style="margin-left: 10px">次</span></div>
          </div>
        </div>
      </div>
      <div class="ft2">
        <div style="font-size: 20px; font-weight: bold">转换数量</div>
        <div class="tabline" style="margin-top: 60px; justify-content: space-around">
          <div>
            <div style="font-size: 26px; color: #1e60cf; font-weight: bold">1500</div>
            <div style="margin-top: 20px">上月同期：1999</div>
          </div>
          <!-- <div>
            <div>同比：14%</div>
            <div style="margin-top: 20px">调用接口方数量：122</div>
          </div> -->
          <div style="text-align: center">
            <img src="@/assets/imgs/icon8.png" alt="" style="height: 20px; width: 20px" />
            <div style="margin-top: 10px">同比</div>
            <div style="margin-top: 10px">16%</div>
          </div>
        </div>
      </div>
    </div>
    <div class="second">
      <div id="Echarts3"></div>
    </div>
    <div class="third">
      <ContentWrap>
        <el-table v-loading="loading" :data="tableData" :stripe="true" :show-overflow-tooltip="true">
          <el-table-column prop="type" label="应用类型" />
          <el-table-column prop="time0" label="0时" />
          <el-table-column prop="time1" label="1时" />
          <el-table-column prop="time2" label="2时" />
          <el-table-column prop="time3" label="3时" />
          <el-table-column prop="time4" label="4时" />
          <el-table-column prop="time5" label="5时" />
          <el-table-column prop="time6" label="6时" />
          <el-table-column prop="time7" label="7时" />
          <el-table-column prop="time8" label="8时" />
          <el-table-column prop="time9" label="9时" />
          <el-table-column prop="time10" label="10时" />
          <el-table-column prop="time11" label="11时" />
          <el-table-column prop="time12" label="12时" />
          <el-table-column prop="time13" label="13时" />
          <el-table-column prop="time14" label="14时" />
          <el-table-column prop="time15" label="15时" />
          <el-table-column prop="time16" label="16时" />
          <el-table-column prop="time17" label="17时" />
          <el-table-column prop="time18" label="18时" />
          <el-table-column prop="time19" label="19时" />
          <el-table-column prop="time20" label="20时" />
          <el-table-column prop="time21" label="21时" />
          <el-table-column prop="time22" label="22时" />
          <el-table-column prop="time23" label="23时" />
        </el-table>
      </ContentWrap>
    </div>
  </div>
</template>
<script setup>
// import * as echarts from 'echarts'
import * as echarts from 'echarts' //引入echarts
import 'echarts/extension/bmap/bmap'
import { ref, onMounted } from 'vue'
onMounted(() => {
  getEcharts()
})
const loading=ref(false)
const activeName = ref('first')
const activeNames = ref('tianbao')
const tableData = ref([
  {
    type: '动力',
    time0: '20',
    time1: '20',
    time2: '20',
    time3: '20',
    time4: '20',
    time5: '20',
    time6: '20',
    time7: '20',
    time8: '20',
    time9: '20',
    time10: '20',
    time11: '20',
    time12: '20',
    time13: '20',
    time14: '20',
    time15: '20',
    time16: '20',
    time17: '20',
    time18: '20',
    time19: '20',
    time20: '20',
    time21: '20',
    time22: '20',
    time23: '20'
  },
  {
    type: '动力',
    time0: '20',
    time1: '20',
    time2: '20',
    time3: '20',
    time4: '20',
    time5: '20',
    time6: '20',
    time7: '20',
    time8: '20',
    time9: '20',
    time10: '20',
    time11: '20',
    time12: '20',
    time13: '20',
    time14: '20',
    time15: '20',
    time16: '20',
    time17: '20',
    time18: '20',
    time19: '20',
    time20: '20',
    time21: '20',
    time22: '20',
    time23: '20'
  }
])
const handleClick = (tab, event) => {
  activeName.value = tab.name
  if (activeName.value === 'years') {
    var chartDom = document.getElementById('Echarts1')
    var myChart = echarts.init(chartDom)
    var option

    option = {
      title: {
        text: '采集数据趋势'
      },
      tooltip: {
        trigger: 'axis'
      },
      legend: {
        data: ['填报', '爬取']
      },
      grid: {
        left: '3%',
        right: '4%',
        bottom: '3%',
        containLabel: true
      },
      xAxis: {
        type: 'category',
        boundaryGap: false,
        data: [
          '1月',
          '2月',
          '3月',
          '4月',
          '5月',
          '6月',
          '7月',
          '8月',
          '9月',
          '10月',
          '11月',
          '12月'
        ]
      },
      yAxis: {
        type: 'value'
      },
      series: [
        {
          name: '填报',
          type: 'line',
          stack: '总量',
          areaStyle: {},
          data: [120, 132, 101, 134, 90, 230, 210, 120, 132, 101, 134, 90],
          itemStyle: {
            normal: {
              color: '#5A8FE8' // 折线颜色
            }
          }
        },
        {
          name: '爬取',
          type: 'line',
          stack: '总量',
          areaStyle: {},
          data: [220, 182, 191, 234, 290, 330, 310, 220, 182, 191, 234, 290],
          itemStyle: {
            normal: {
              color: '#4CDAA3' // 折线颜色
            }
          }
        }
      ]
    }

    option && myChart.setOption(option)
    window.addEventListener('resize', function () {
      myChart.resize()
    })
  } else {
    getEcharts()
  }
}
const handleClicks = (tab, event) => {
  activeNames.value = tab.name
}
const getEcharts = () => {
  const bmapScript = document.createElement('script')
  bmapScript.src =
    'http://api.map.baidu.com/api?v=2.0&ak=g2DVs4pVwq1DDviUCkXgMDK9ujPx9d5B&callback=init'
  document.body.appendChild(bmapScript)

  // 初始化地图的回调函数
  window.init = () => {
    console.log('[[[[]]]]')
    var chartDom3 = document.getElementById('Echarts3')
    var myChart3 = echarts.init(chartDom3)
    var option3
    const data = [
      { name: '海门', value: 9 },
      { name: '鄂尔多斯', value: 12 },
      { name: '招远', value: 12 },
      { name: '舟山', value: 12 },
      { name: '齐齐哈尔', value: 14 },
      { name: '盐城', value: 15 },
      { name: '赤峰', value: 16 },
      { name: '青岛', value: 18 },
      { name: '乳山', value: 18 },
      { name: '金昌', value: 19 },
      { name: '泉州', value: 21 },
      { name: '莱西', value: 21 },
      { name: '日照', value: 21 },
      { name: '胶南', value: 22 },
      { name: '南通', value: 23 },
      { name: '拉萨', value: 24 },
      { name: '云浮', value: 24 },
      { name: '梅州', value: 25 },
      { name: '文登', value: 25 },
      { name: '上海', value: 25 },
      { name: '攀枝花', value: 25 },
      { name: '威海', value: 25 },
      { name: '承德', value: 25 },
      { name: '厦门', value: 26 },
      { name: '汕尾', value: 26 },
      { name: '潮州', value: 26 },
      { name: '丹东', value: 27 },
      { name: '太仓', value: 27 },
      { name: '曲靖', value: 27 },
      { name: '烟台', value: 28 },
      { name: '福州', value: 29 },
      { name: '瓦房店', value: 30 },
      { name: '即墨', value: 30 },
      { name: '抚顺', value: 31 },
      { name: '玉溪', value: 31 },
      { name: '张家口', value: 31 },
      { name: '阳泉', value: 31 },
      { name: '莱州', value: 32 },
      { name: '湖州', value: 32 },
      { name: '汕头', value: 32 },
      { name: '昆山', value: 33 },
      { name: '宁波', value: 33 },
      { name: '湛江', value: 33 },
      { name: '揭阳', value: 34 },
      { name: '荣成', value: 34 },
      { name: '连云港', value: 35 },
      { name: '葫芦岛', value: 35 },
      { name: '常熟', value: 36 },
      { name: '东莞', value: 36 },
      { name: '河源', value: 36 },
      { name: '淮安', value: 36 },
      { name: '泰州', value: 36 },
      { name: '南宁', value: 37 },
      { name: '营口', value: 37 },
      { name: '惠州', value: 37 },
      { name: '江阴', value: 37 },
      { name: '蓬莱', value: 37 },
      { name: '韶关', value: 38 },
      { name: '嘉峪关', value: 38 },
      { name: '广州', value: 38 },
      { name: '延安', value: 38 },
      { name: '太原', value: 39 },
      { name: '清远', value: 39 },
      { name: '中山', value: 39 },
      { name: '昆明', value: 39 },
      { name: '寿光', value: 40 },
      { name: '盘锦', value: 40 },
      { name: '长治', value: 41 },
      { name: '深圳', value: 41 },
      { name: '珠海', value: 42 },
      { name: '宿迁', value: 43 },
      { name: '咸阳', value: 43 },
      { name: '铜川', value: 44 },
      { name: '平度', value: 44 },
      { name: '佛山', value: 44 },
      { name: '海口', value: 44 },
      { name: '江门', value: 45 },
      { name: '章丘', value: 45 },
      { name: '肇庆', value: 46 },
      { name: '大连', value: 47 },
      { name: '临汾', value: 47 },
      { name: '吴江', value: 47 },
      { name: '石嘴山', value: 49 },
      { name: '沈阳', value: 50 },
      { name: '苏州', value: 50 },
      { name: '茂名', value: 50 },
      { name: '嘉兴', value: 51 },
      { name: '长春', value: 51 },
      { name: '胶州', value: 52 },
      { name: '银川', value: 52 },
      { name: '张家港', value: 52 },
      { name: '三门峡', value: 53 },
      { name: '锦州', value: 54 },
      { name: '南昌', value: 54 },
      { name: '柳州', value: 54 },
      { name: '三亚', value: 54 },
      { name: '自贡', value: 56 },
      { name: '吉林', value: 56 },
      { name: '阳江', value: 57 },
      { name: '泸州', value: 57 },
      { name: '西宁', value: 57 },
      { name: '宜宾', value: 58 },
      { name: '呼和浩特', value: 58 },
      { name: '成都', value: 58 },
      { name: '大同', value: 58 },
      { name: '镇江', value: 59 },
      { name: '桂林', value: 59 },
      { name: '张家界', value: 59 },
      { name: '宜兴', value: 59 },
      { name: '北海', value: 60 },
      { name: '西安', value: 61 },
      { name: '金坛', value: 62 },
      { name: '东营', value: 62 },
      { name: '牡丹江', value: 63 },
      { name: '遵义', value: 63 },
      { name: '绍兴', value: 63 },
      { name: '扬州', value: 64 },
      { name: '常州', value: 64 },
      { name: '潍坊', value: 65 },
      { name: '重庆', value: 66 },
      { name: '台州', value: 67 },
      { name: '南京', value: 67 },
      { name: '滨州', value: 70 },
      { name: '贵阳', value: 71 },
      { name: '无锡', value: 71 },
      { name: '本溪', value: 71 },
      { name: '克拉玛依', value: 72 },
      { name: '渭南', value: 72 },
      { name: '马鞍山', value: 72 },
      { name: '宝鸡', value: 72 },
      { name: '焦作', value: 75 },
      { name: '句容', value: 75 },
      { name: '北京', value: 79 },
      { name: '徐州', value: 79 },
      { name: '衡水', value: 80 },
      { name: '包头', value: 80 },
      { name: '绵阳', value: 80 },
      { name: '乌鲁木齐', value: 84 },
      { name: '枣庄', value: 84 },
      { name: '杭州', value: 84 },
      { name: '淄博', value: 85 },
      { name: '鞍山', value: 86 },
      { name: '溧阳', value: 86 },
      { name: '库尔勒', value: 86 },
      { name: '安阳', value: 90 },
      { name: '开封', value: 90 },
      { name: '济南', value: 92 },
      { name: '德阳', value: 93 },
      { name: '温州', value: 95 },
      { name: '九江', value: 96 },
      { name: '邯郸', value: 98 },
      { name: '临安', value: 99 },
      { name: '兰州', value: 99 },
      { name: '沧州', value: 100 },
      { name: '临沂', value: 103 },
      { name: '南充', value: 104 },
      { name: '天津', value: 105 },
      { name: '富阳', value: 106 },
      { name: '泰安', value: 112 },
      { name: '诸暨', value: 112 },
      { name: '郑州', value: 113 },
      { name: '哈尔滨', value: 114 },
      { name: '聊城', value: 116 },
      { name: '芜湖', value: 117 },
      { name: '唐山', value: 119 },
      { name: '平顶山', value: 119 },
      { name: '邢台', value: 119 },
      { name: '德州', value: 120 },
      { name: '济宁', value: 120 },
      { name: '荆州', value: 127 },
      { name: '宜昌', value: 130 },
      { name: '义乌', value: 132 },
      { name: '丽水', value: 133 },
      { name: '洛阳', value: 134 },
      { name: '秦皇岛', value: 136 },
      { name: '株洲', value: 143 },
      { name: '石家庄', value: 147 },
      { name: '莱芜', value: 148 },
      { name: '常德', value: 152 },
      { name: '保定', value: 153 },
      { name: '湘潭', value: 154 },
      { name: '金华', value: 157 },
      { name: '岳阳', value: 169 },
      { name: '长沙', value: 175 },
      { name: '衢州', value: 177 },
      { name: '廊坊', value: 193 },
      { name: '菏泽', value: 194 },
      { name: '合肥', value: 229 },
      { name: '武汉', value: 273 },
      { name: '大庆', value: 279 }
    ]
    const geoCoordMap = {
      海门: [121.15, 31.89],
      鄂尔多斯: [109.781327, 39.608266],
      招远: [120.38, 37.35],
      舟山: [122.207216, 29.985295],
      齐齐哈尔: [123.97, 47.33],
      盐城: [120.13, 33.38],
      赤峰: [118.87, 42.28],
      青岛: [120.33, 36.07],
      乳山: [121.52, 36.89],
      金昌: [102.188043, 38.520089],
      泉州: [118.58, 24.93],
      莱西: [120.53, 36.86],
      日照: [119.46, 35.42],
      胶南: [119.97, 35.88],
      南通: [121.05, 32.08],
      拉萨: [91.11, 29.97],
      云浮: [112.02, 22.93],
      梅州: [116.1, 24.55],
      文登: [122.05, 37.2],
      上海: [121.48, 31.22],
      攀枝花: [101.718637, 26.582347],
      威海: [122.1, 37.5],
      承德: [117.93, 40.97],
      厦门: [118.1, 24.46],
      汕尾: [115.375279, 22.786211],
      潮州: [116.63, 23.68],
      丹东: [124.37, 40.13],
      太仓: [121.1, 31.45],
      曲靖: [103.79, 25.51],
      烟台: [121.39, 37.52],
      福州: [119.3, 26.08],
      瓦房店: [121.979603, 39.627114],
      即墨: [120.45, 36.38],
      抚顺: [123.97, 41.97],
      玉溪: [102.52, 24.35],
      张家口: [114.87, 40.82],
      阳泉: [113.57, 37.85],
      莱州: [119.942327, 37.177017],
      湖州: [120.1, 30.86],
      汕头: [116.69, 23.39],
      昆山: [120.95, 31.39],
      宁波: [121.56, 29.86],
      湛江: [110.359377, 21.270708],
      揭阳: [116.35, 23.55],
      荣成: [122.41, 37.16],
      连云港: [119.16, 34.59],
      葫芦岛: [120.836932, 40.711052],
      常熟: [120.74, 31.64],
      东莞: [113.75, 23.04],
      河源: [114.68, 23.73],
      淮安: [119.15, 33.5],
      泰州: [119.9, 32.49],
      南宁: [108.33, 22.84],
      营口: [122.18, 40.65],
      惠州: [114.4, 23.09],
      江阴: [120.26, 31.91],
      蓬莱: [120.75, 37.8],
      韶关: [113.62, 24.84],
      嘉峪关: [98.289152, 39.77313],
      广州: [113.23, 23.16],
      延安: [109.47, 36.6],
      太原: [112.53, 37.87],
      清远: [113.01, 23.7],
      中山: [113.38, 22.52],
      昆明: [102.73, 25.04],
      寿光: [118.73, 36.86],
      盘锦: [122.070714, 41.119997],
      长治: [113.08, 36.18],
      深圳: [114.07, 22.62],
      珠海: [113.52, 22.3],
      宿迁: [118.3, 33.96],
      咸阳: [108.72, 34.36],
      铜川: [109.11, 35.09],
      平度: [119.97, 36.77],
      佛山: [113.11, 23.05],
      海口: [110.35, 20.02],
      江门: [113.06, 22.61],
      章丘: [117.53, 36.72],
      肇庆: [112.44, 23.05],
      大连: [121.62, 38.92],
      临汾: [111.5, 36.08],
      吴江: [120.63, 31.16],
      石嘴山: [106.39, 39.04],
      沈阳: [123.38, 41.8],
      苏州: [120.62, 31.32],
      茂名: [110.88, 21.68],
      嘉兴: [120.76, 30.77],
      长春: [125.35, 43.88],
      胶州: [120.03336, 36.264622],
      银川: [106.27, 38.47],
      张家港: [120.555821, 31.875428],
      三门峡: [111.19, 34.76],
      锦州: [121.15, 41.13],
      南昌: [115.89, 28.68],
      柳州: [109.4, 24.33],
      三亚: [109.511909, 18.252847],
      自贡: [104.778442, 29.33903],
      吉林: [126.57, 43.87],
      阳江: [111.95, 21.85],
      泸州: [105.39, 28.91],
      西宁: [101.74, 36.56],
      宜宾: [104.56, 29.77],
      呼和浩特: [111.65, 40.82],
      成都: [104.06, 30.67],
      大同: [113.3, 40.12],
      镇江: [119.44, 32.2],
      桂林: [110.28, 25.29],
      张家界: [110.479191, 29.117096],
      宜兴: [119.82, 31.36],
      北海: [109.12, 21.49],
      西安: [108.95, 34.27],
      金坛: [119.56, 31.74],
      东营: [118.49, 37.46],
      牡丹江: [129.58, 44.6],
      遵义: [106.9, 27.7],
      绍兴: [120.58, 30.01],
      扬州: [119.42, 32.39],
      常州: [119.95, 31.79],
      潍坊: [119.1, 36.62],
      重庆: [106.54, 29.59],
      台州: [121.420757, 28.656386],
      南京: [118.78, 32.04],
      滨州: [118.03, 37.36],
      贵阳: [106.71, 26.57],
      无锡: [120.29, 31.59],
      本溪: [123.73, 41.3],
      克拉玛依: [84.77, 45.59],
      渭南: [109.5, 34.52],
      马鞍山: [118.48, 31.56],
      宝鸡: [107.15, 34.38],
      焦作: [113.21, 35.24],
      句容: [119.16, 31.95],
      北京: [116.46, 39.92],
      徐州: [117.2, 34.26],
      衡水: [115.72, 37.72],
      包头: [110, 40.58],
      绵阳: [104.73, 31.48],
      乌鲁木齐: [87.68, 43.77],
      枣庄: [117.57, 34.86],
      杭州: [120.19, 30.26],
      淄博: [118.05, 36.78],
      鞍山: [122.85, 41.12],
      溧阳: [119.48, 31.43],
      库尔勒: [86.06, 41.68],
      安阳: [114.35, 36.1],
      开封: [114.35, 34.79],
      济南: [117, 36.65],
      德阳: [104.37, 31.13],
      温州: [120.65, 28.01],
      九江: [115.97, 29.71],
      邯郸: [114.47, 36.6],
      临安: [119.72, 30.23],
      兰州: [103.73, 36.03],
      沧州: [116.83, 38.33],
      临沂: [118.35, 35.05],
      南充: [106.110698, 30.837793],
      天津: [117.2, 39.13],
      富阳: [119.95, 30.07],
      泰安: [117.13, 36.18],
      诸暨: [120.23, 29.71],
      郑州: [113.65, 34.76],
      哈尔滨: [126.63, 45.75],
      聊城: [115.97, 36.45],
      芜湖: [118.38, 31.33],
      唐山: [118.02, 39.63],
      平顶山: [113.29, 33.75],
      邢台: [114.48, 37.05],
      德州: [116.29, 37.45],
      济宁: [116.59, 35.38],
      荆州: [112.239741, 30.335165],
      宜昌: [111.3, 30.7],
      义乌: [120.06, 29.32],
      丽水: [119.92, 28.45],
      洛阳: [112.44, 34.7],
      秦皇岛: [119.57, 39.95],
      株洲: [113.16, 27.83],
      石家庄: [114.48, 38.03],
      莱芜: [117.67, 36.19],
      常德: [111.69, 29.05],
      保定: [115.48, 38.85],
      湘潭: [112.91, 27.87],
      金华: [119.64, 29.12],
      岳阳: [113.09, 29.37],
      长沙: [113, 28.21],
      衢州: [118.88, 28.97],
      廊坊: [116.7, 39.53],
      菏泽: [115.480656, 35.23375],
      合肥: [117.27, 31.86],
      武汉: [114.31, 30.52],
      大庆: [125.03, 46.58]
    }
    const convertData = function (data) {
      var res = []
      for (var i = 0; i < data.length; i++) {
        var geoCoord = geoCoordMap[data[i].name]
        if (geoCoord) {
          res.push({
            name: data[i].name,
            value: geoCoord.concat(data[i].value)
          })
        }
      }
      return res
    }
    option3 = {
      backgroundColor: 'transparent',
      title: {
        text: '',
        left: 'center'
      },
      tooltip: {
        trigger: 'item'
      },
      bmap: {
        center: [104.114129, 37.550339],
        zoom: 5,
        roam: true,
        mapStyle: {
          styleJson: [
            {
              featureType: 'water',
              elementType: 'all',
              stylers: {
                color: '#d1d1d1'
              }
            },
            {
              featureType: 'land',
              elementType: 'all',
              stylers: {
                color: '#f3f3f3'
              }
            },
            {
              featureType: 'railway',
              elementType: 'all',
              stylers: {
                visibility: 'off'
              }
            },
            {
              featureType: 'highway',
              elementType: 'all',
              stylers: {
                color: '#fdfdfd'
              }
            },
            {
              featureType: 'highway',
              elementType: 'labels',
              stylers: {
                visibility: 'off'
              }
            },
            {
              featureType: 'arterial',
              elementType: 'geometry',
              stylers: {
                color: '#fefefe'
              }
            },
            {
              featureType: 'arterial',
              elementType: 'geometry.fill',
              stylers: {
                color: '#fefefe'
              }
            },
            {
              featureType: 'poi',
              elementType: 'all',
              stylers: {
                visibility: 'off'
              }
            },
            {
              featureType: 'green',
              elementType: 'all',
              stylers: {
                visibility: 'off'
              }
            },
            {
              featureType: 'subway',
              elementType: 'all',
              stylers: {
                visibility: 'off'
              }
            },
            {
              featureType: 'manmade',
              elementType: 'all',
              stylers: {
                color: '#d1d1d1'
              }
            },
            {
              featureType: 'local',
              elementType: 'all',
              stylers: {
                color: '#d1d1d1'
              }
            },
            {
              featureType: 'arterial',
              elementType: 'labels',
              stylers: {
                visibility: 'off'
              }
            },
            {
              featureType: 'boundary',
              elementType: 'all',
              stylers: {
                color: '#fefefe'
              }
            },
            {
              featureType: 'building',
              elementType: 'all',
              stylers: {
                color: '#d1d1d1'
              }
            },
            {
              featureType: 'label',
              elementType: 'labels.text.fill',
              stylers: {
                color: '#999999'
              }
            }
          ]
        }
      },
      series: [
        {
          name: 'pm2.5',
          type: 'scatter',
          coordinateSystem: 'bmap',
          data: convertData(data),
          symbolSize: function (val) {
            return val[2] / 10
          },
          encode: {
            value: 2
          },
          label: {
            formatter: '{b}',
            position: 'right',
            show: false
          },
          emphasis: {
            label: {
              show: true
            }
          }
        },
        {
          name: 'Top 5',
          type: 'effectScatter',
          coordinateSystem: 'bmap',
          data: convertData(
            data
              .sort(function (a, b) {
                return b.value - a.value
              })
              .slice(0, 6)
          ),
          symbolSize: function (val) {
            return val[2] / 10
          },
          encode: {
            value: 2
          },
          showEffectOn: 'render',
          rippleEffect: {
            brushType: 'stroke'
          },
          label: {
            formatter: '{b}',
            position: 'right',
            show: true
          },
          itemStyle: {
            shadowBlur: 10,
            shadowColor: '#333'
          },
          emphasis: {
            scale: true
          },
          zlevel: 1
        }
      ]
    }

    option3 && myChart3.setOption(option3)
    window.addEventListener('resize', function () {
      myChart3.resize()
    })
  }
}
</script>

<style scoped lang="scss">
.contain {
  padding: 10px;
  width: calc(100% - 20px);
  height: calc(100% - 20px);
  overflow: auto;
  margin-top:40px
}
.first {
  display: flex;
  height: 230px;
  width: 100%;
  margin-top: 10px;
  justify-content: space-between;
}
.ft1 {
  width: calc(35% - 40px);
  height: calc(100% - 40px);
  padding: 20px;
  margin-right: 10px;
  background: #fff;
}
.ft2 {
  width: calc(30% - 60px);
  padding: 20px;
  background: #fff;
  height: calc(100% - 40px);
}
.ftr {
  display: flex;
  justify-content: space-between;
}
.second {
  margin-top: 10px;
  display: flex;
  width: 100%;
  height: 400px;
  justify-content: space-between;
}
.sl2 {
  width: calc(30% - 60px);
  background: #fff;
  padding: 20px;
}
.sl1 {
  width: calc(70% + 10px);
  background: #fff;
  position: relative;
  .images {
    height: 100%;
    width: 100%;
  }
}
.fl1 {
  width: calc(70% + 10px);
  margin-right: 10px;
  background: #fff;
}
.fl2 {
  width: calc(30% - 20px);
  background: #fff;
}
.third {
  margin-top: 10px;
  display: flex;
  width: 100%;
  height:400px;
  justify-content: space-between;
}
.tl1 {
  width: calc(70% - 30px);
  margin-right: 10px;
  padding: 20px;
  background: #fff;
}
.tl2 {
  width: calc(30% - 60px);
  background: #fff;
  padding: 20px;
}
.card {
  display: flex;
  flex-wrap: wrap;
  justify-content: space-between;
  img {
    height: 30px;
    width: 30px;
  }
}
.cards {
  display: flex;
  flex-wrap: wrap;
  position: absolute;
  top: 0;
  left: 0;
  right: 0;
  bottom: 0;
  margin: auto;
  align-items: center;
  img {
    height: 40px;
    width: 40px;
    margin-bottom: 20px;
  }
}
.box {
  border: 1px solid #dedede;
  padding: 20px;
  margin-right: 10px;
  margin-top: 10px;
  width: 180px;
  border-radius: 4px;
}
.tTitle {
  font-size: 20px;
  font-weight: bold;
  color: #333;
  line-height: 40px;
}
.kpiList {
  display: flex;
  line-height: 40px;
  font-size: 14px;
  div {
    margin-right: 20px;
    padding: 0 10px;
    border: 1px solid #dedede;
    border-radius: 25px;
  }
}
:deep(.el-tabs__nav) {
  float: right !important;
}
#Echarts1 {
  height: 300px;
  width: 65%;
}
#Echarts2,
#Echarts3 {
  height: 300px;
  width: 35%;
}
.number {
  font-size: 22px;
  span {
    font-size: 13px;
  }
}
.lineWarn {
  height: 50px;
  width: 100%;
  display: flex;
  margin-top: 50px;
  justify-content: space-between;
  align-items: center;
}
.numbers {
  font-size: 22px;
  color: #ff9800;
  margin-top: 10px;
  span {
    color: #333;
    font-size: 12px;
  }
}
.numberss {
  font-size: 30px;
  color: #ff9800;
  span {
    font-size: 12px;
    color: #333;
  }
}
.tabline {
  display: flex;
  width: 100%;
  justify-content: space-between;
  align-items: center;
  margin-top: 20px;
}
.boxs {
  width: 49%;
  text-align: center;
  font-size: 20px;
  margin-top: 40px;
  img {
    margin-bottom: 10px;
  }
  span {
    color: #1e60cf;
  }
}
.lineCard {
  height: 8px;
  width: 20px;
  background: #ff9800;
  margin-right: 5px;
}
.lineCard2 {
  height: 8px;
  width: 20px;
  background: #efc88e;
  margin-right: 5px;
}
.jicheng {
  position: absolute;
  bottom: 41%;
  right: 41%;
  img {
    height: 90px;
    width: 90px;
  }
}
.tongbu {
  position: absolute;
  bottom: 41%;
  right: 57%;
  img {
    height: 105px;
    width: 105px;
  }
}
.zhibao {
  position: absolute;
  bottom: 61%;
  right: 71%;
  text-align: end;
  img {
    height: 77px;
    width: 50px;
  }
}
.paqu {
  position: absolute;
  bottom: 44%;
  right: 80%;
  text-align: end;
  img {
    height: 77px;
    width: 50px;
  }
}
.shujuku {
  position: absolute;
  bottom: 17%;
  right: 77%;
  text-align: end;
  img {
    height: 77px;
    width: 50px;
  }
}
.api {
  position: absolute;
  bottom: 2%;
  right: 67%;
  text-align: end;
  img {
    height: 70px;
    width: 50px;
  }
}
.fuwuguanli {
  position: absolute;
  bottom: 53%;
  right: 27%;
  img {
    height: 70px;
    width: 50px;
  }
}
.yewujianmo {
  position: absolute;
  bottom: 14%;
  right: 28%;
  img {
    height: 70px;
    width: 50px;
  }
}
.shujuzichan {
  position: absolute;
  bottom: 64%;
  right: 16%;
  text-align: start;
  img {
    height: 70px;
    width: 50px;
  }
}
.shujuyingyong {
  position: absolute;
  bottom: 38%;
  right: 14%;
  text-align: start;
  img {
    height: 70px;
    width: 50px;
  }
}
#Echarts3 {
  height: 100%;
  width: 100%;
}
</style>